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Patricia Ryser-Welch
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2020 – today
- 2022
- [j2]Han Cao
, Youcheng Zhang
, Jan Baumbach
, Paul R. Burton
, Dominic B. Dwyer, Nikolaos Koutsouleris, Julian O. Matschinske, Yannick Marcon, Sivanesan Rajan, Thilo Rieg, Patricia Ryser-Welch, Julian Späth
, Carl Herrmann
, Emanuel Schwarz:
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning. Bioinform. 38(21): 4919-4926 (2022) - 2021
- [j1]Yannick Marcon
, Tom Bishop
, Demetris Avraam
, Xavier Escriba-Montagut, Patricia Ryser-Welch, Stuart Wheater, Paul R. Burton
, Juan R. González
:
Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD. PLoS Comput. Biol. 17(3) (2021)
2010 – 2019
- 2016
- [c5]Patricia Ryser-Welch, Julian F. Miller, Jerry Swan, Martin A. Trefzer:
Iterative Cartesian Genetic Programming: Creating General Algorithms for Solving Travelling Salesman Problems. EuroGP 2016: 294-310 - [c4]Carola Doerr
, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein
, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis
, Carlos M. Fonseca
, Andreia P. Guerreiro
, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós
, Julian Francis Miller, Boris Naujoks
, Pietro S. Oliveto
, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork
, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer:
Tutorials at PPSN 2016. PPSN 2016: 1012-1022 - 2015
- [c3]Patricia Ryser-Welch, Julian F. Miller, Shahriar Asta:
Generating Human-readable Algorithms for the Travelling Salesman Problem using Hyper-Heuristics. GECCO (Companion) 2015: 1067-1074 - [c2]Patricia Ryser-Welch, Julian F. Miller, Shahriar Asta:
Evolutionary Cross-Domain Hyper-Heuristics. GECCO (Companion) 2015: 1473-1474 - 2014
- [c1]Patricia Ryser-Welch, Julian F. Miller:
Plug-and-Play Hyper-heuristics: An Extended Formulation. SASO 2014: 179-180
Coauthor Index
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last updated on 2024-04-25 05:48 CEST by the dblp team
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